Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use cmjaramile/Atari_Space_Invaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cmjaramile/Atari_Space_Invaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cmjaramile/Atari_Space_Invaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ddc245c8530a945ebe30cff5cf4618dda97efeb2d12c8f406af0ccb7bb56314
- Size of remote file:
- 287 kB
- SHA256:
- 7cb9bd7a992d8560847336c5564fc15f09ccc5e42c12ccd405840516b3c47882
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